model architecture

Multi-Head Attention

Multi-head attention runs several attention operations in parallel so a model can capture different relationships in the same input.

Jun 9, 2026 by Ethan Caldwell • 1 min read

Feedforward Neural Network

A feedforward neural network moves information from input to output through layers without recurrent feedback connections.

May 8, 2026 by Ethan Caldwell • 1 min read

Hidden Layer

A hidden layer is an internal neural network layer that transforms inputs into representations used to produce the final output.

May 7, 2026 by Marcus Lee • 1 min read

Mixture of Experts (MoE)

By Daniel Mercer Apr 29, 2026 • 1 min read

A mixture of experts (MoE) is an AI architecture that routes each input to selected subnetworks, increasing capacity without activating every parameter.

End-to-End Learning

By Marcus Lee Mar 31, 2026 • 1 min read

End-to-end learning trains one model to map raw inputs directly to final outputs with minimal hand-built intermediate processing.

Ablation

By Ethan Caldwell Jan 26, 2026 • 1 min read

Ablation tests the importance of a model component by removing or disabling it and measuring the resulting performance change.

Neural Networks

By AIstify Team Oct 3, 2025 • 1 min read

Neural networks, explained for practice – architectures, training, and engineering choices that drive performance, efficiency, evaluation, and safety across modern AI.